AAdonis commited on
Commit
d82f980
·
verified ·
1 Parent(s): 248237d

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +9 -50
README.md CHANGED
@@ -766,22 +766,9 @@ configs:
766
 
767
  # WorldSpeech
768
 
769
- **53,635 hours of transcribed speech across 113 language–region configs**, drawn from national parliaments, public broadcasters, public-domain audiobooks, and international institutions (UN, ICC, Vatican Radio). Strong non-European and low-resource coverage across Sub-Saharan Africa, Asia, and Latin America.
770
 
771
- Every row consists of a 24 kHz speech utterance paired with a verified human transcript, an aligned ASR transcript, character error rate (CER) between the two, a WADA-SNR estimate, and four DNSMOS-P.835 quality scores — enough metadata to filter for TTS-grade, ASR-grade, or noise-robustness training without re-running quality estimation yourself.
772
-
773
- **Audio format:** OGG Opus, 24 kHz mono, ~64 kbps VBR
774
- **Splits:** 95 / 5 train / test (per config, seed 42)
775
- **Provenance fields:** `source`, `source_url`, `session_date`, `source_start_s`, `source_end_s`, `segment_id` on every row
776
- **License:** CC BY-NC 4.0, with per-config restrictions where the upstream license is more restrictive (see [Licenses](#licenses))
777
-
778
- > ⚠️ **Audio embedding caveat.** Five configs (`kh_km` Khmer, `la_lo` Lao, `mm_my` Burmese, `vn_vi` Vietnamese, `cn_ug` Uyghur — 3,941 hours total, all Radio Free Asia–sourced) include only metadata, transcripts, and source URLs. Audio must be downloaded separately from `source_url`. **Embedded-audio hours: ~49,694.** Total including metadata-only: 53,635.
779
-
780
- ---
781
-
782
- ## Dataset License
783
-
784
- WorldSpeech is released under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). Individual source licenses apply per config and are listed in the [Licenses](#licenses) section. Where a source license is more restrictive than CC BY-NC 4.0, the more restrictive terms govern that config.
785
 
786
  ---
787
 
@@ -799,23 +786,7 @@ WorldSpeech is released under [CC BY-NC 4.0](https://creativecommons.org/license
799
  | Languages ≥ 50 h | 47 |
800
  | Weighted avg DNSMOS-P.835 OVR | 2.82 |
801
  | Sample rate | 24 kHz |
802
- | Codec | OGG Opus |
803
 
804
- ### Coverage by region
805
-
806
- | Region | Hours | Configs |
807
- |---|---|---|
808
- | Europe | 23,364 | 26 |
809
- | East/SE Asia | 11,623 | 13 |
810
- | Latin America | 7,573 | 11 |
811
- | Sub-Saharan Africa | 3,493 | 29 |
812
- | South Asia | 2,098 | 9 |
813
- | MENA | 2,060 | 13 |
814
- | Pacific/Oceania | 1,095 | 5 |
815
- | Caucasus | 1,934 | 4 |
816
- | Central Asia | 394 | 3 |
817
-
818
- ---
819
 
820
  ## How to use
821
 
@@ -823,7 +794,6 @@ WorldSpeech is released under [CC BY-NC 4.0](https://creativecommons.org/license
823
  from datasets import load_dataset, Audio
824
 
825
  ds = load_dataset("AAdonis/WorldSpeech", "nl_nl", split="train")
826
- ds = ds.cast_column("audio", Audio(sampling_rate=24000))
827
 
828
  row = ds[0]
829
  wav = row["audio"]["array"] # 1-D float32 numpy array, 24 kHz mono
@@ -843,24 +813,6 @@ for row in ds:
843
  break
844
  ```
845
 
846
- ### Filtering for TTS-grade subset
847
-
848
- ```python
849
- ds_tts = ds.filter(lambda row:
850
- row["dnsmos_ovr"] >= 3.2 and
851
- row["snr"] >= 15.0 and
852
- row["cer"] <= 0.05 and
853
- 1.0 <= row["duration"] <= 20.0
854
- )
855
- ```
856
-
857
- | Use case | DNSMOS OVR | SNR (dB) | CER |
858
- |---|---|---|---|
859
- | TTS / voice cloning | ≥ 3.2 | ≥ 15 | ≤ 0.05 |
860
- | Clean ASR | ≥ 2.8 | ≥ 10 | ≤ 0.10 |
861
- | Robustness / noisy | — | — | ≤ 0.15 |
862
-
863
- ---
864
 
865
  ## Schema
866
 
@@ -1088,6 +1040,13 @@ Issues, takedowns, license questions: open a discussion on this repository.
1088
 
1089
  ---
1090
 
 
 
 
 
 
 
 
1091
  ## Licenses
1092
 
1093
  | Config | Country / Language | License | Notes |
 
766
 
767
  # WorldSpeech
768
 
769
+ **53,635 hours of transcribed speech across 113 language–region configs**, drawn from national parliaments, public broadcasters, public-domain audiobooks, and international institutions (UN, ICC, Vatican Radio).
770
 
771
+ Every row consists of a 24 kHz speech utterance paired with a verified human transcript, an aligned ASR transcript, character error rate (CER) between the two, a WADA-SNR estimate, and four DNSMOS-P.835 quality scores.
 
 
 
 
 
 
 
 
 
 
 
 
 
772
 
773
  ---
774
 
 
786
  | Languages ≥ 50 h | 47 |
787
  | Weighted avg DNSMOS-P.835 OVR | 2.82 |
788
  | Sample rate | 24 kHz |
 
789
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
790
 
791
  ## How to use
792
 
 
794
  from datasets import load_dataset, Audio
795
 
796
  ds = load_dataset("AAdonis/WorldSpeech", "nl_nl", split="train")
 
797
 
798
  row = ds[0]
799
  wav = row["audio"]["array"] # 1-D float32 numpy array, 24 kHz mono
 
813
  break
814
  ```
815
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
816
 
817
  ## Schema
818
 
 
1040
 
1041
  ---
1042
 
1043
+ ## Dataset License
1044
+
1045
+ WorldSpeech is released under [CC BY-NC 4.0](https://creativecommons.org/licenses/by-nc/4.0/). Individual source licenses apply per config and are listed in the [Licenses](#licenses) section. Where a source license is more restrictive than CC BY-NC 4.0, the more restrictive terms govern that config.
1046
+
1047
+ > ⚠️ **Audio embedding caveat.** Five configs (`kh_km` Khmer, `la_lo` Lao, `mm_my` Burmese, `vn_vi` Vietnamese, `cn_ug` Uyghur — 3,941 hours total, all Radio Free Asia–sourced) include only metadata, transcripts, and source URLs. Audio must be downloaded separately from `source_url`. **Embedded-audio hours: ~49,694.** Total including metadata-only: 53,635.
1048
+
1049
+
1050
  ## Licenses
1051
 
1052
  | Config | Country / Language | License | Notes |